Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454008
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DC FieldValueLanguage
dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2023-01-30T04:43:23Z-
dc.date.available2023-01-30T04:43:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/454008-
dc.description.abstractAvailable newline newline
dc.format.extentxvi, 147 p.
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleBeyond full supervision alternate perspectives to learning with limited supervision in deep neural network models
dc.title.alternativeNa
dc.creator.researcherPal, Arghya
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.noteReference page p. 129
dc.contributor.guideBalasubramanian, Vineeth N.
dc.publisher.placeKandi
dc.publisher.universityIndian Institute of Technology Hyderabad
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2015
dc.date.completed2020
dc.date.awarded2021
dc.format.dimensionsNA
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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cs15resch11001_arghya_t.pdf28.56 MBAdobe PDFView/Open


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